Consensus-based guidance for conducting and reporting multi-analyst studies
Any large dataset can be analyzed in a number of ways, and it is possible that the use of different analysis strategies will lead to different results and conclusions. One way to assess whether the results obtained depend on the analysis strategy chosen is to employ multiple analysts and leave each...
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eLife Sciences Publications Ltd
2021
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oai:doaj.org-article:2f33a9be099441798c65209457b94d1c2021-11-26T11:03:35ZConsensus-based guidance for conducting and reporting multi-analyst studies10.7554/eLife.721852050-084Xe72185https://doaj.org/article/2f33a9be099441798c65209457b94d1c2021-11-01T00:00:00Zhttps://elifesciences.org/articles/72185https://doaj.org/toc/2050-084XAny large dataset can be analyzed in a number of ways, and it is possible that the use of different analysis strategies will lead to different results and conclusions. One way to assess whether the results obtained depend on the analysis strategy chosen is to employ multiple analysts and leave each of them free to follow their own approach. Here, we present consensus-based guidance for conducting and reporting such multi-analyst studies, and we discuss how broader adoption of the multi-analyst approach has the potential to strengthen the robustness of results and conclusions obtained from analyses of datasets in basic and applied research.Balazs AczelBarnabas SzasziGustav NilsonneOlmo R van den AkkerCasper J AlbersMarcel ALM van AssenJojanneke A BastiaansenDaniel BenjaminUdo BoehmRotem Botvinik-NezerLaura F BringmannNiko A BuschEmmanuel CaruyerAndrea M CataldoNelson CowanAndrew DeliosNoah NN van DongenChris DonkinJohnny B van DoornAnna DreberGilles DutilhGary F EganMorton Ann GernsbacherRink HoekstraSabine HoffmannFelix HolzmeisterJuergen HuberMagnus JohannessonKai J JonasAlexander T KindelMichael KirchlerYoram K KunkelsD Stephen LindsayJean-Francois ManginDora MatzkeMarcus R MunafòBen R NewellBrian A NosekRussell A PoldrackDon van RavenzwaaijJörg RieskampMatthew J SalganikAlexandra SarafoglouTom SchonbergMartin SchweinsbergDavid ShanksRaphael SilberzahnDaniel J SimonsBarbara A SpellmanSamuel St-JeanJeffrey J StarnsEric Luis UhlmannJelte WichertsEric-Jan WagenmakerseLife Sciences Publications Ltdarticlemulti-analystmetasciencestatistical practicescience forumexpert consensusanalytical variabilityMedicineRScienceQBiology (General)QH301-705.5ENeLife, Vol 10 (2021) |
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multi-analyst metascience statistical practice science forum expert consensus analytical variability Medicine R Science Q Biology (General) QH301-705.5 |
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multi-analyst metascience statistical practice science forum expert consensus analytical variability Medicine R Science Q Biology (General) QH301-705.5 Balazs Aczel Barnabas Szaszi Gustav Nilsonne Olmo R van den Akker Casper J Albers Marcel ALM van Assen Jojanneke A Bastiaansen Daniel Benjamin Udo Boehm Rotem Botvinik-Nezer Laura F Bringmann Niko A Busch Emmanuel Caruyer Andrea M Cataldo Nelson Cowan Andrew Delios Noah NN van Dongen Chris Donkin Johnny B van Doorn Anna Dreber Gilles Dutilh Gary F Egan Morton Ann Gernsbacher Rink Hoekstra Sabine Hoffmann Felix Holzmeister Juergen Huber Magnus Johannesson Kai J Jonas Alexander T Kindel Michael Kirchler Yoram K Kunkels D Stephen Lindsay Jean-Francois Mangin Dora Matzke Marcus R Munafò Ben R Newell Brian A Nosek Russell A Poldrack Don van Ravenzwaaij Jörg Rieskamp Matthew J Salganik Alexandra Sarafoglou Tom Schonberg Martin Schweinsberg David Shanks Raphael Silberzahn Daniel J Simons Barbara A Spellman Samuel St-Jean Jeffrey J Starns Eric Luis Uhlmann Jelte Wicherts Eric-Jan Wagenmakers Consensus-based guidance for conducting and reporting multi-analyst studies |
description |
Any large dataset can be analyzed in a number of ways, and it is possible that the use of different analysis strategies will lead to different results and conclusions. One way to assess whether the results obtained depend on the analysis strategy chosen is to employ multiple analysts and leave each of them free to follow their own approach. Here, we present consensus-based guidance for conducting and reporting such multi-analyst studies, and we discuss how broader adoption of the multi-analyst approach has the potential to strengthen the robustness of results and conclusions obtained from analyses of datasets in basic and applied research. |
format |
article |
author |
Balazs Aczel Barnabas Szaszi Gustav Nilsonne Olmo R van den Akker Casper J Albers Marcel ALM van Assen Jojanneke A Bastiaansen Daniel Benjamin Udo Boehm Rotem Botvinik-Nezer Laura F Bringmann Niko A Busch Emmanuel Caruyer Andrea M Cataldo Nelson Cowan Andrew Delios Noah NN van Dongen Chris Donkin Johnny B van Doorn Anna Dreber Gilles Dutilh Gary F Egan Morton Ann Gernsbacher Rink Hoekstra Sabine Hoffmann Felix Holzmeister Juergen Huber Magnus Johannesson Kai J Jonas Alexander T Kindel Michael Kirchler Yoram K Kunkels D Stephen Lindsay Jean-Francois Mangin Dora Matzke Marcus R Munafò Ben R Newell Brian A Nosek Russell A Poldrack Don van Ravenzwaaij Jörg Rieskamp Matthew J Salganik Alexandra Sarafoglou Tom Schonberg Martin Schweinsberg David Shanks Raphael Silberzahn Daniel J Simons Barbara A Spellman Samuel St-Jean Jeffrey J Starns Eric Luis Uhlmann Jelte Wicherts Eric-Jan Wagenmakers |
author_facet |
Balazs Aczel Barnabas Szaszi Gustav Nilsonne Olmo R van den Akker Casper J Albers Marcel ALM van Assen Jojanneke A Bastiaansen Daniel Benjamin Udo Boehm Rotem Botvinik-Nezer Laura F Bringmann Niko A Busch Emmanuel Caruyer Andrea M Cataldo Nelson Cowan Andrew Delios Noah NN van Dongen Chris Donkin Johnny B van Doorn Anna Dreber Gilles Dutilh Gary F Egan Morton Ann Gernsbacher Rink Hoekstra Sabine Hoffmann Felix Holzmeister Juergen Huber Magnus Johannesson Kai J Jonas Alexander T Kindel Michael Kirchler Yoram K Kunkels D Stephen Lindsay Jean-Francois Mangin Dora Matzke Marcus R Munafò Ben R Newell Brian A Nosek Russell A Poldrack Don van Ravenzwaaij Jörg Rieskamp Matthew J Salganik Alexandra Sarafoglou Tom Schonberg Martin Schweinsberg David Shanks Raphael Silberzahn Daniel J Simons Barbara A Spellman Samuel St-Jean Jeffrey J Starns Eric Luis Uhlmann Jelte Wicherts Eric-Jan Wagenmakers |
author_sort |
Balazs Aczel |
title |
Consensus-based guidance for conducting and reporting multi-analyst studies |
title_short |
Consensus-based guidance for conducting and reporting multi-analyst studies |
title_full |
Consensus-based guidance for conducting and reporting multi-analyst studies |
title_fullStr |
Consensus-based guidance for conducting and reporting multi-analyst studies |
title_full_unstemmed |
Consensus-based guidance for conducting and reporting multi-analyst studies |
title_sort |
consensus-based guidance for conducting and reporting multi-analyst studies |
publisher |
eLife Sciences Publications Ltd |
publishDate |
2021 |
url |
https://doaj.org/article/2f33a9be099441798c65209457b94d1c |
work_keys_str_mv |
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